Legaltech is evolving fast and this new Q&A between @richardharroch and Chris Rose is a great snapshot. Big thanks to Chris for spotlighting Clerky among the startups driving the space and to Richard for sharing the conversation. This article is well worth a read for anyone in legaltech!

The AAA has announced a strategic alliance with Newcode, the configurable agentic AI harness built for complex legal work. Through this collaboration, AAA ADR clauses will be made available directly within Newcode, enabling users to incorporate clear and effective clause language from the moment they begin drafting agreements. By integrating AAA’s library of arbitration and mediation clauses directly into Newcode, legal and business teams will have access to established AAA clause language that can be incorporated into contracts, workflows, and agentic AI drafting tools. The collaboration is designed to support the adoption of thoughtful, well-structured ADR clauses, helping organizations reduce ambiguity, strengthen procedural alignment, and support a clearer path for resolving disputes should they arise. Learn more here: #AAA# #Newcode# #AIinADR# #LegalTech#

Thank you to everyone who joined us for “The State of AI in U.S. Arbitration,” an exclusive look at the results of our benchmark report on how AI is reshaping arbitration practice across the US. Attendees also heard from leading practitioners featured in the survey, along with AAA and Jus Mundi executives, who shared their perspectives on the findings of this first-of-its-kind report. Download the results: #AAA# #JusMundi# #Arbitration# #StateOfAI# #AIinADR# #LegalTech#

How does the AI Arbitrator ensure fairness and trust? Every AI Arbitrator case follows the AAA’s due process principles, disclosure requirements, and ethical frameworks — the same standards parties rely on today — with the final award issued by an expertly trained human arbitrator. Parties always know who their arbitrator is, how the case is handled, and how the final decision is reached. Learn more about the AI Arbitrator here: #AAA# #AIArbitrator# #Arbitration# #LegalTech#

In the latest episode of AI and the Future of Law, hosts @BridgetMaryMc and Jennifer Leonard talk about @Kirkland_Ellis’ reported $500 million investment in building its own proprietary AI platform and why law firms need AI strategies that reflect their own strengths rather than copying another firm’s playbook. Together, they examine growing concerns among junior associates about how AI is changing early-career legal work, including questions about training, meaning, skill development, and more. Check out the full episode here: #AIandtheFutureofLaw# #AI# #LegalTech#

Missed it live? Learn more about our new Resolution Simulator, coming soon! Diana Didia, EVP and chief technology & innovation officer at the AAA, hosted a special edition of @CCBJournal's Tech Tuesday webinar showcasing our latest AI tool in action. Discover how the AAA’s new Resolution Simulator helps parties understand how an arbitrator might analyze claims, counterclaims, and legal arguments—supporting more informed decision-making and case preparation. Watch the full webinar here: #AAAICDR# #CCBJTechTuesday# #LegalInnovation# #DisputeResolution# #LegalTechnology#

Do you have to use the AI Arbitrator? The short answer: No! Participation in AI Arbitration is completely voluntary — and both parties must agree to use the AI Arbitrator. The AI Arbitrator is simply an option to give parties a faster, streamlined alternative to fast, fair, and cost-effective outcomes. Learn more about the AI Arbitrator here: #AAA# #AIArbitrator# #Arbitration# #LegalTech#

The contract negotiations lawyers deal with every day turn out to be more repetitive than they look. Uber's legal team processes thousands of contract negotiations a year, and simply responding to client edits round after round had become a serious bottleneck. But buried inside that high-stakes work was something surprisingly structured: similar clauses, repeatable redlines across clients, and standing legal reasoning patterns. That meant the routine parts could be automated while complex judgment stayed with the lawyers. 🔄 The first attempt used retrieval-augmented generation, but it failed — semantic matching between search keys and content was inaccurate, the tone of generated responses was off, and it generalized poorly to new scenarios. The team evolved it into a feedback loop that carefully logged every lawyer decision (accept, reject, modify) with exponential decay weighting to avoid drifting toward outdated precedent. Next they tamed responses that swung between overly defensive and overly accommodating using expert-defined prompt structure and a reflection technique, and finally reached agentic modifications capable of drafting counter-proposals themselves. Title: Scaling AI in Legal: Building Uber's Redlining Agent URL: Built right into the Microsoft Word lawyers already use, the tool cut contract review time by 20% and reached 91% accuracy on AI-generated decisions. What stands out most is the team's own takeaway: the hardest part wasn't the model — it was successfully weaving an agent into lawyers' daily work. #AIAgents# #LegalTech#

"Agentic Commerce Needs Legal Infrastructure: A Case Study on Midnight City" I just made a LinkedIn post about a document that really caught my interest. Over the past few days I've been working with Luciano Oliva Bianco on one of the least discussed and most urgent problems in agentic commerce: what happens legally when two AI agents negotiate and close a transaction with no human in the loop? In "Agentic Commerce Needs Legal Infrastructure: A Case Study on Midnight City," we explore how the Legal Context Protocol (LCP) can give these transactions something they don't have today: a verifiable cryptographic record of the agreed terms, bound to the payment, and auditable afterward by either party, a court, or a regulator. The piece covers three areas: The legal diagnosis: which existing doctrines (ratification, consumer protection, liability cascades) are already poorly suited to a world of agents acting at machine scale. A framework of our own, the "Trust in Depth Framework," proposing layers of human identity, entity attestation, agreement integrity, and agent authorization. A concrete technical roadmap for implementing this on Midnight, leveraging its privacy architecture (selective disclosure, on chain settlement). One thing that mattered to me in closing the analysis: not everything cuts one way. We added a final section dedicated to the real limits and risks of the approach, including that "provable" is not the same as "enforceable," that standard adoption is never guaranteed, and that jurisdiction by jurisdiction regulatory uncertainty is real. A technical legal analysis is only useful if it's also willing to say where it can fail. If you work in compliance, Web3, or agentic commerce, I'd love to hear your take. #AgenticCommerce# #Web3# #LegalTech# #Midnight# #Compliance#

Legal services is a trillion dollar market every year, but software spend into legal tech is only about $40 billion of it. That's 4% software, 96% service. Every other knowledge industry we've digitized has flipped that ratio. Legal hasn't, yet. I joined the @theallinpod on stage at @RaiseSummit in Paris last week to talk about why that's about to change, and why @WeAreLegora isn't here to replace lawyers. Our job is to help them move from a pre-AI world to a post-AI one. The job doesn't disappear. The tasks change. And this market is about to get a lot bigger, not smaller. Thanks to RAISE Summit for hosting us in Paris, and to the All-In crew for having me on stage. Full conversation: